Triple
T3203017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Knight |
E67094
|
entity |
| Predicate | firstAppearanceCentury |
P6026
|
FINISHED |
| Object | 14th century |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 14th century | Statement: [Green Knight, firstAppearanceCentury, 14th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceCentury Context triple: [Green Knight, firstAppearanceCentury, 14th century]
-
A.
introducedInCentury
chosen
Indicates the century during which something (such as an idea, technology, practice, or entity) was first introduced or came into use.
-
B.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
E.
developedSinceCentury
Indicates that something began to be developed or came into existence starting from a specified century onward.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b188a88190b7b5e9b3be9410db |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.